Jeff W. Atkins
Research Biologist
P.O Box 700
New Ellenton, SC 29809
Phone: 803-522-0791New Ellenton, SC 29809
jeffrey.atkins@usda.gov
Current Research
- Forest structure and structural diversity relationships to growth, nutrient cycling, animal habitat, and climate change response
- The spatiotemporal evolution of forest structure and diversity as a function of disturbance mechanisms—specifically focusing on moderate severity disturbance and co-occurring disturbances.
- Development and application of novel remote sensing techniques in ecology and forestry (e.g. terrestrial laser scanning, UAVs, hyperspectral, RGB imagery) to measure forest structure (e.g. structural complexity, stand structure).
Research Interests
Forest structure; lidar; UAV; GEDI; remote sensing; watershed biogeochemistry; disturbance ecology; forest microclimates.
Education
- Ph.D. Environmental Sciences in Ecology, watershed biogeochemistry, remote sensing, 2016
- University of Virginia
- B.A.English in Literature, 1999
- Western Carolina University
Professional Experience
- Postdoctoral Scholar, Virginia Commonwealth University
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2016—2020
Professional Organizations
- American Geophysical Union (AGU), (2012—Current)
Awards and Recognition
- Trout Unlimited Award, 2014
- Presented by the Trout Unlimited Virginia Area Council
Publications
- Atkins, Jeff W.; Stovall, Atticus E.L.; Alberto Silva, Carlos . 2022. Open-Source tools in R for forestry and forest ecology.
- Atkins, Jeff W.; Walter, Jonathan A.; Stovall, Atticus E. L.; Fahey, Robert T.; Gough, Christopher M. 2022. Power law scaling relationships link canopy structural complexity and height across forest types.
- Silva, Carlos Alberto; Hudak, Andrew T.; Vierling, Lee A.; Valbuena, Ruben ; Cardil, Adrian ; Mohan, Midhun ; de Almeida, Danilo Roberti Alves; Broadbent, Eben N.; Almeyda Zambrano, Angelica M.; Wilkinson, Ben ; Sharma, Ajay ; Drake, Jason B.; Medley, Paul B.; Vogel, Jason G.; Prata, Gabriel Atticciati; Atkins, Jeff W.; Hamamura, Caio ; Jonson, Daniel J.; Klauberg, Carine . 2022. Treetop: A shiny‐based application and R package for extracting forest information from LiDAR data for ecologists and conservationists.
Research Highlights
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R&D Affiliations
Research Topics
Priority Areas
SRS Science Area
Experimental Forests and Ranges
External Resources
- The sites listed below are third-party sites which the Forest Service has provided for reference only.
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ORCID